Dimitrios Giannakis, Andrew J. Majda. Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. In Ashok N. Srivastava, Nitesh V. Chawla, Amal Shehan Perera, editors, Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA. pages 107-117, NASA Ames Research Center, 2011. [doi]
@inproceedings{GiannakisM11,
title = {Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model},
author = {Dimitrios Giannakis and Andrew J. Majda},
year = {2011},
url = {http://c3.nasa.gov/dashlink/static/media/other/CIDU_Proceedings2011.pdf},
researchr = {https://researchr.org/publication/GiannakisM11},
cites = {0},
citedby = {0},
pages = {107-117},
booktitle = {Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA},
editor = {Ashok N. Srivastava and Nitesh V. Chawla and Amal Shehan Perera},
publisher = {NASA Ames Research Center},
}